The advantage of positive text-background polarity is due to high

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Ergonomics
Vol. 52, No. 7, July 2009, 882–886
The advantage of positive text-background polarity is due to high display luminance
Axel Buchnera*, Susanne Mayra and Martin Brandtb
a
Heinrich-Heine-Universität Düsseldorf, Germany; bUniversität Mannheim, Germany
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Reading text from computer screens is better when text is printed in dark letters on light background
(positive polarity) than when it is printed in light letters on dark background (negative polarity). An experiment is
presented that tests whether this positive polarity advantage is due to the fact that overall display luminance is
typically higher for positive than for negative polarity displays. To this end, text-background polarity and display
luminance were manipulated independently. No positive polarity advantage was observed when overall display
luminance of positive and negative polarity displays was equivalent. There was only an effect of display luminance,
with better performance for the higher-luminance displays. This suggests that the positive polarity advantage is
in fact due to the typically higher luminance of positive polarity displays. Readability of text presented on computer
screens (e.g. on websites) is better when the overall display luminance level is high, as in positive polarity displays
(dark letters on light background). Display polarity per se does not affect readability.
Keywords: display polarity; luminance; reading
Introduction
The presenting of dark letters on light background is
usually referred to as negative contrast (because
Michelson contrast c ¼ (Lt7Lb)/(Lt þ Lb) turns negative if text luminance, Lt, is lower than background
luminance, Lb) or positive text-background polarity.
A number of studies have shown that presenting text
on a monitor in positive polarity results in better
performance than presenting text in negative polarity
(Bauer and Cavonius 1980, Radl 1980, Magnussen
et al. 1992, Wang et al. 2003, Chan and Lee 2005).
However, there are also a number of failures to find
such a positive polarity advantage (Cushman 1984,
1986, Legge et al. 1985, 1987, Gould et al. 1987,
Creed et al. 1988, Pastoor 1990, Shieh 2000, Wang
and Chen 2000, Ling and van Schaik 2002, Hall and
Hanna 2004). Buchner and Baumgartner (2007) have
suggested that these failures to find performance
differences as a function of text-background polarity
were mostly due to methodological problems. Specifically, they have shown that a reliable positive
polarity advantage can be obtained provided that
(a) an adequate sample size and (b) a betweensubjects manipulation of text-background polarity is
used. The latter reduces the chances of performance–
effort trade-offs that complicate within-subject designs
in which participants often try to maintain a certain
performance level across difficult (here: negative
text-background polarity) and easy (here: positive
*Corresponding author. Email: axel.buchner@uni-duesseldorf.de
ISSN 0014-0139 print/ISSN 1366-5847 online
! 2009 Taylor & Francis
DOI: 10.1080/00140130802641635
http://www.informaworld.com
text-background polarity) conditions by increasing
or decreasing their effort, respectively.
The goal of the experiment reported here was to test
hypotheses about the cause(s) of the positive polarity
advantage. One important feature is that the overall
luminance of positive polarity displays (e.g. black text
on white background) is usually higher than that of
negative polarity displays (e.g. white text on black
background). For instance, overall display luminance in
Experiment 1 of Buchner and Baumgartner (2007) was
180.30 cd/m2 and 12.23 cd/m2 in the positive and
negative polarity condition, respectively. The luminance
level of a viewed surface is an important determinant of
pupil diameter. Pupil diameter, in turn, has effects on
the depth of field and the magnitude of spherical
aberrations. Indeed, Taptagaporn and Saito (1990)
found that pupil diameter was smaller with positive than
with negative polarity displays. This finding implies that
there should be a greater depth of field and less spherical
aberration and thus a higher quality of the retinal image
with positive (high luminance level) than with negative
(low luminance level) polarity displays. This, in turn,
should be an advantage when reading text from positive
polarity displays, as was noted by Taptagaporn and
Saito (1990), although note that their participants did
not read but simply looked at a monitor.
Another determinant of the positive polarity
advantage could be that contrast sensitivity
impairments due to adaptation processes while reading
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Ergonomics
text from displays seem to be larger for negative than
for positive polarity displays. Although this seems to
be the case only for relatively low spatial frequencies
(horizontal periodicity of rows) and not for more
medium spatial frequencies corresponding to the
vertical periodicity of characters (Magnussen et al.
1992), a smaller loss of contrast sensitivity for positive
than for negative polarity displays could explain the
positive polarity advantage.
A third variable that comes to mind is expertise as a
function of familiarity. More precisely, the positive
polarity advantage may simply be the result of one’s
extremely extended experience with positive text-background polarity in printed books, newspapers and
magazines. It seems thus plausible to assume that brain
areas involved in text processing may be tuned to the
processing of positive polarity text displays.
The experiment reported herein focused on the role
of display luminance for the positive polarity advantage. Specifically, it was tested whether the typically
higher luminance level of a positive polarity text display
may explain performance advantage over negative
polarity displays. For that purpose, text-background
polarity and display luminance were manipulated
independently. First, a positive and a negative polarity
condition were created so that in both conditions the
overall display luminance was equally high and the
absolute value of the text-background contrast was
identical (although the sign of the contrast of course
differed). Second, analogous positive and negative
polarity display conditions with equally low overall
luminance displays but with the same absolute value of
text-background contrast as in the high luminance
condition were created. If the positive polarity advantage were solely determined by the typically higher
luminance of the positive polarity displays, then there
should be (a) no difference between the positive and
negative polarity display conditions and instead (b)
better performance in the high than in the low display
luminance condition. Alternatively, if the positive
polarity advantage were (also) due to other variables
such as contrast adaptation or familiarity, then a
difference between positive and negative polarity displays should still be observed – perhaps, but not
necessarily, in addition to a difference in performance
between the high and low display luminance conditions.
Taptagaporn and Saito (1990) observed that the
difference in pupil diameter between positive and
negative polarity displays was larger with dark
(20 lx) than with medium (500 lx) or bright (1200 lx)
ambient illumination. However, the positive polarity
advantage observed by Buchner and Baumgartner
(2007) was unaffected by ambient illumination (5 lx vs.
550 lx). This suggests that if pupil diameter determines
the positive polarity advantage in reading text from
883
computer screens, then the absolute size of the pupil
diameter difference is less important for, and not
linearly related to, the positive polarity advantage, at
least not as long as the ambient illumination is lower
than or equal to 550 lx, the latter of which is in the
order of magnitude of what is typically required for
office environments (EN 12464–1, see e.g. DIN 2003).
Given the independence of the polarity advantage of
ambient luminance (at least in the range from 5 lx to
550 lx) it was decided to implement the experiment in
the low ambient illumination condition used in the
experiments of Buchner and Baumgartner. In order to
maximise further the comparability of the present
results to those earlier data, most other relevant
features of the experiment (participants’ task,
equipment, materials (except for text and background
luminance values) and procedure) were basically
identical to the features of their experiments.
Method
Participants
Participants were 124 volunteers (81 women) who were
paid for their participation. Their age ranged from 18
to 55 years (mean 26). All participants were tested
individually. Participants were randomly assigned to
the experimental groups with the restriction that, at the
end of the experiment, an equal number of participants
had to be in each of the four groups defined by the
present 2 6 2 design. All participants had German
as their native language and had normal or
corrected-to-normal vision.
Apparatus and materials
The text materials were presented using an Apple
17-inch thin film transistor (TFT) ‘Studio Display’,
which was controlled by an Apple PowerMacintosh
computer (Apple Inc., CA, USA). A chin rest ensured
a constant viewing distance of 50 cm. Luminance
values were determined using a Minolta Colormeter
CS-100 (Konica Minotta, Japan).
Overall display luminance was determined as
follows. First, the average number of screen pixels that
displayed text and background were determined for the
15 short stories that were used (6.11% of all screen
pixels displayed text, 93.89% displayed background).
Next, the display luminance as a function of RGB
values was determined. To this end, RGB values were
incremented from (15, 15, 15) to (255, 255, 255) in
steps of 15, simultaneously for each colour channel.
Luminance was recorded for each level. A power
function was fitted to these observed data to predict
the displays’ luminance from arbitrary RGB values (fit:
R2 4 0.99). For the positive polarity condition (dark
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884
A. Buchner et al.
text on light background), text and background
luminance were determined such that the textbackground Michelson contrast was c ¼ (Lt7Lb)/
(Lt þ Lb) ¼ 70.30. For the negative polarity
condition (light text on dark background), the
contrast was c ¼ 0.30. Within each level of the
polarity variable, the text and background display
luminance values were determined such that the overall
display luminance difference between the high and low
display luminance condition was maximised given the
capabilities of the TFT display that was used, the
contrast that was implemented and the need to avoid
very extreme RGB settings. The resulting overall
display luminance values were 77 cd/m2 and
10 cd/m2 in the high and low display luminance
conditions, respectively. The corresponding text and
background luminance values are displayed in Table 1.
Participants performed the spell-checking task (see
Procedure) in a dark, soundproof room without
windows. Ambient illumination was 5 lx when the
RGB values of the computer screen were set to
(0, 0, 0). Participants read 15 separate short stories
by various authors. Each story was 875 words long and
was presented in 14 point Helvetica (letter height was
0.48 of visual angle) in which it filled one page on the
computer screen (between 35 and 40 lines of text).
Each story contained 30 errors of five different types
(duplicate letters, missing letters, pair-wise letter
inversions, incorrect letters and grammar errors such
as incorrect flexion or conjugation, which forced
participants to comprehend the text rather than simply
skim individual words). To anticipate the results, none
of the results differed systematically as a function of
the type of spelling error, which is why only the overall
number of detected errors is reported.
Procedure
After the participants were comfortably seated and
properly positioned, they were instructed that their task
in this experiment was to find as many errors of various
Table 1. Luminance values (cd/m2) of text and background
as a function of text-background polarity (positive, negative)
and display luminance (high, low).
Display
luminance
High
(77 cd/m2)
Low
(10 cd/m2)
Positive polarity
Negative polarity
Text
Background
Text
Background
42.67
79.24
135.88
73.17
5.54
10.29
17.65
9.50
Note: The overall display luminance is presented in parentheses. It
was calculated as the weighted average of the luminance of screen
pixels displaying text (6.11%) and background (93.89%).
types in a series of short stories that they would be asked
to read. They received a training passage of text
containing the different types of errors. Participants
learned that they were to mark errors by double-clicking
the relevant word using the computer mouse. As soon as
they clicked on a word, a small ‘record’ and a ‘cancel’
button appeared to the right of the text passage. If
participants were certain to have selected a spelling
error, they were to click on the ‘record’ button, after
which the selected word was recorded for later
evaluation. The word was then de-selected and the
buttons disappeared immediately. Otherwise,
participants could de-select the word by clicking the
‘cancel’ button, in which case the buttons disappeared
immediately. It was not possible to select more than one
word at a time. This training interval lasted about 10 to
15 min and also served as the dark adaptation interval.
Next, every participant received a random sequence
of 15 short stories. Every short story was presented for
3 min, during which participants had to select as many
errors as they could. Prior testing as well as the
experience gained in Buchner and Baumgartner’s
(2007) experiments had confirmed that the stories were
too long to be read completely within 3 min. After the
3-min period errors could no longer be detected and a
male voice announced that the next short story was
about to be presented, which indeed occurred 3 s later.
During the entire experiment, an experimenter was
in the experimental room, seated behind the
participant, to survey the task progress and to aid the
participant should she or he decide to quit the
experiment ahead of time (this did not occur). Overall,
the experiment took about 1 h.
Design
The between-subjects independent variables in the
present 2 6 2 6 15 design were text-background
polarity (dark-on-light (c ¼ 70.30) vs. light-on-dark
(c ¼ 0.30)) and display luminance (high (77 cd/m2) vs.
low (10 cd/m2)). The within-subject independent
variable was story number (story 1 to story 15). The
dependent variable was the number of spelling errors
detected.
The sample effect sizes of the polarity effect
observed in Buchner and Baumgartner (2007) were
Z2 ¼ 0.23 (f ¼ 0.55), Z2 ¼ 0.06 (f ¼ 0.25), and
Z2 ¼ 0.10 (f ¼ 0.33) in their Experiments 1, 2 and 3,
respectively. With an average of Z2 ¼ 0.13 (f ¼ 0.39),
the polarity effect may count as ‘large’ in terms of the
conventions introduced by Cohen (1977). Based on
this size and the observed range of effect sizes it was
thought reasonable to aim at detecting a polarity
effect even if it were somewhat smaller than what had
been previously observed, that is, an effect of Z2 ¼ 0.10
Ergonomics
(f ¼ 0.33) was planned for. Given this, an a priori
power analysis suggested that for desired levels of
a¼b ¼ 0.05, data would have to be collected from
n ¼ 124 participants, 31 in each of the cells of the
present 2 6 2 between-subjects part of the design
(Faul et al. 2007, Mayr et al. 2007).
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Results
Figure 1 shows that performance was very similar in the
positive and in the negative polarity condition, but that
display luminance had an effect on the number of errors
that were detected. A 2 6 2 6 15 multivariate ANOVA with text-background polarity and display luminance as between-subjects independent variables and
story number (story 1 to story 15) as within-subject
variable showed no effect of text-background polarity,
F(1, 120) ¼ 0.04, p ¼ 0.85, Z2 5 0.01, but a significant
effect of display luminance, F(1, 120) ¼ 16.18,
p 5 0.01, Z2 ¼ 0.12. The interaction between these
variables was not significant, F(1,120) ¼ 0.28, p ¼ 0.59,
Z2 5 0.01, and neither was any of the interactions with
the story number variable, all F(14, 107) 5 1.14,
p 4 0.33, Z2 5 0.13. At a descriptive level, performance seemed to improve as a function of the number
of stories that were read, but the effect of this variable
just missed the preset level of statistical significance,
F(14, 107) ¼ 1.76, p ¼ 0.06, Z2 ¼ 0.12.
Discussion
Proofreading performance was clearly superior in the
high relative to the low display luminance condition.
The size of the display luminance effect in the present
Figure 1. Mean number of errors detected in the each of the
15 stories (30 at most) as a function of polarity and display
luminance. The error bars represent the standard errors of
the means.
885
experiment (Z2 ¼ 0.12 or f ¼ 0.37) was rather close in
magnitude to the average polarity effect observed by
Buchner and Baumgartner (2007) (Z2 ¼ 0.13 or
f ¼ 0.39). The absolute performance level was also
strikingly parallel. In the present high display
luminance conditions and in Buchner and
Baumgartner’s positive polarity conditions the
numbers of detected errors were 11.4 and 11.9,
respectively. In the present low display luminance
conditions and in Buchner and Baumgartner’s negative
polarity conditions the numbers of detected errors
were 9.2 and 9.5, respectively. Recall that in the
experiments reported by Buchner and Baumgartner,
text-background polarity implied the usual
confounding with display luminance in that overall
display luminance was high for positive (between
177.87 cd/m2 and 180.30 cd/m2) and low for negative
polarity displays (between 12.23 cd/m2 and
32.42 cd/m2). Thus, those earlier and the present data
can be summarised by stating that proofreading
performance in all of these experiments was better
when display luminance was high than when it was
low. This is parallel to other studies in which screen
luminance was manipulated directly (e.g. Lin 2005). At
the same time, there was no polarity effect in the
present experiment, that is, there was no longer a
positive polarity advantage when the overall display
luminance did not differ between positive and negative
polarity displays. All of these effects were independent
of the number of stories read, that is, practice effects
did not modulate any of these effects.
Taken together, this suggests that the polarity effect
is in fact an effect of display luminance. In other
words, the positive polarity advantage in reading text
from computer displays is due to the fact that displays
with dark letters on light background are typically
brighter than negative polarity displays with light
letters on dark background. Other variables, such as
contrast adaptation or familiarity seem to be of very
little or no relevance for the polarity effect.
A factor that may limit the generality of the present
results is that the ambient illumination in the present
experiment was low (5 lx). However, given that the
polarity effect reported by Buchner and Baumgartner
(2007) did not differ as a function of whether the
ambient illumination was 5 lx or 550 lx, it seems safe
to conclude that the present results can be generalised
at least to the ambient illuminations up to 550 lx,
which is a level that is typical for artificially illuminated
office environments. In addition, other studies have
also found that, when using TFT monitors, visual
performance is not affected by ambient illumination
varying between 200 lx and 800 lx (Lin and Huang
2006, Wang et al. 2007). This is probably so because
modern TFT monitors reflect only a small proportion
886
A. Buchner et al.
of the ambient light so that the text-background
contrast is only marginally affected by relatively lowintensity external light sources. In contrast, ambient
illumination varying between 300 lx and 1500 lx
appears to affect reading from electronic paper
displays, which is to be expected because these
displays are reflective (Lee et al. 2008). Finally, even
reading from low-reflective TFT displays may become
a problem with very high-intensity light sources such as
the sun outdoors (Chung and Lu 2003).
Within these limits the current data suggest that the
positive polarity advantage in reading text from
computer displays is in fact a high display luminance
advantage, possibly mediated by a smaller pupil size
compared to that associated with low display luminance of negative polarity displays.
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